{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"id":"cdmuMK_1--4j"},"outputs":[],"source":["# Install condacolab\n","!pip install -q condacolab\n","import condacolab\n","condacolab.install()\n","\n","!conda create -n internvl python=3.9 -y\n","\n","!source activate internvl"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"KWmqqybo_h_f"},"outputs":[],"source":["!git clone https://github.com/Czi24/InternVL-20240714.git\n","!pip install torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 --index-url https://download.pytorch.org/whl/cu118\n","\n","!pip install flash-attn==2.3.6 --no-build-isolation\n","!pip install transformers==4.37.2\n","!pip install opencv-python termcolor yacs pyyaml scipy\n","!pip install deepspeed==0.13.5\n","!pip install pycocoevalcap tqdm\n","\n","%cd /content/InternVL-20240714/internvl_chat_llava/\n","!pip install -e ."]},{"cell_type":"code","execution_count":12,"metadata":{"id":"PVGCUM6gXijH","colab":{"base_uri":"https://localhost:8080/","height":1000,"referenced_widgets":["61d7bd8feca542898453a327d65b52d0","f49631a2468d4a379a08aa80394825d3","3afd9d83c0874d39aee47f0ad3e6138b","45fdc8430f114b77ad1df352ea3144aa","c5da4b476768441db32155dcaa4e8abe","bbfbf9d82a7142e39f9403f62c4c83a9","d7c8774626494c869b73eb365dc60abd","3056cc7427654fbc9e0fe514c74b5b1f","fa6794d97851490d9bd80f98e03a38aa","63ad4bd7bd304a44b89a727ebea4d5b1","2b296b31dac24858ba6c518aa91699ef","b03f875ce2e74576a3e2f7fcbb69f5a9","d24bfc13bf764fbb87aa186cf7e08e91","3b377160f9634bafb72406c9ac0960ed","c169ef76ad8d42eab352be41a782bc9d","b18f64aade4146f9a46a2b23981343a5","108101263def49f087ba1f3b85f12c11","b51b2117b1144eeb9554143258b9af07","b9585e5b18914bf285afeab383f0c24f","325e49e3cdfb4ca7a5cc762977b8d26c","6944aaa218a04d9598f87d71f99e547c","02a98c33179b4a93a49a8e932ddf6974","17e69f8fb52a4a72973abbff01ddf83d","7ac6c964d5cd44c1aa6b2677a4da485b","deca795a8aa84f0ebca17da53eebc6a2","11b530cca10c41d284d4156e797678da","6d821d88ef3c4428b4bbbcf497816ede","0ece2a49d5af4657acbdd95c686ecc7e","90748dd73fbf43a1add0ec2556a8340a","8fe5ec2c9f284daa826d208f9eba6e57","2e85c131e51d4e338b247af305a8ad17","0cc30747663f4c7496719b0962b50f68","c391f3b37bac42b6a4fdc1c0c02eac54","1c2c9dbeb1a14140b9f8ded8ad9bf71b","6973153c87c64ac083116438be8bcc30","dc930a29c6f148978868d50e0c6c61cc","ae51acc34391439fb6b953db2e9b0605","9791a3cbcc8d4b4882c55f7518407afd","71a6c27da66e4d64836b205263201c60","862c2763ee0f48d9be31539c3a3631fe","6c18c4617b374fc5bdb730c47f635d3f","29478b1fd7924489a7ba1e4f2043f95e","e41278c7dc674cf88670c7bab5519fc8","e7f05bfc9d0d4f53bd0509867ae072ce","225c7d47f64047e7bfe32d240112c546","b99d0488c0f54aa983a6d2463cfa2c32","427a356f13674d3e921129529ba8be47","a1f91c1cbfa04f6fbab4d2d8f921e5f0","6a506095f3ca41488d97d8ecb9f51341","3ca28601d5e44d8097b6234ab41d321d","d67a8bbd0cee489e9fc311d335f0e101","65a8fecc663f427a99ade5240eaf37df","688eb6105c524a399e7fecbb7663b9b5","1e3afe5614c0420ebd186392a89cf230","9c98392a178a440aad799dde221d1021","c549bc8f3c4142dbbbcc9d04552f1ad6","f94e219f752740a8ab39980f86949b0b","1c4728a19e4b4002a7eececbb64c2e3e","0a100639dd84444899890c9c34512aef","d362e3b55e0e4f6ab03545699e017417","b3d2342157b34bd9a867fe2e4e9e7f60","6b0f28b0033a4bc18fca2ab23769b9f5","bf709122a0c649a9b6308b814622b0ce","28addc432a0e4d88a1af1dd54f6a28d9","d62b0c9e48a848b5b88be3a04e418310","bc7ad9ddfc06421194f1c2a7ec37f6f5","337bbed7750a4d8c84df744552efbd6c","f78d4d6f879649e998228be8a6803535","3040b7e655564923af66d2c05ec087a3","afcec1313c3e47a9b54abebd64cab2c6","7ea47674a27e418784ffd30357dd53b6","2c094be5ddf74548b0692417a8e86d6d","1df17706cfa14ebba02e475c0b28dcba","7e28e8f5223f4caf86cd7739130ccbec","b9a478df48204d4baad70a96a6d2d6f7","1f4a9ebe869846d9ab3040d0661feca1","d705e61c35a84ed4bc03977c07ffdea2","99107bd5287b4ef4bae56361acc94f60","ad9e567b517f49ef8f2c27d45da23291","8242ec6653e543d888bee8ddf04a430f","f38468386e7844b2bb030b580c4ac108","73b5f3974b5f42bb9baf4fa18e089e0d","8c5d4589b4ff45218fd702b81beecf44","055b1b4e171d4408853973037bc0d4f4","339ceaf6f63b43bf89df96be9d09e713","4e5a5c34e0ab452d9747d525eaa8b7d6","291dc68e99104d43a38b34bb63659294","8e437b94091c4710b53e40012ffd5dd1","67894d6f0af34b32bbfbe57dcf100e64","d27959cd188b4f1885ae981a2b9b8db6","99b7d50598eb42ac9d6bbafc8ea51612","7ccd4e538f3a4049b3bb6a5a17c909e8","abb217e54173489595e48fd0026aa9cc","1c0fb5302aa445519fcb60a3ea8ac873","992e84213340438bbb041d3ade5afa61","e57e9f66ea4c4a87bf7b6b3d49ddb760","2879f5ba040740d69c748a5c21a56e51","f22d193efc264c1bb4748f94a900dd20","c16b615365494b78931a833ebd84757c","6196da589a4e4f9a8bac20039d4abef5","0b983de1fe7b4eb5a33632b9713cc9fc","3309210c94b64151a80327908c5a2611","1ad1a2f0b98c43f0b15b4be945333b1d","4bf63d579336496d9a48b1198f28327f","4a1dc3048c3e4aecaab932cdf8d07a4f","0804b754054e424cbf0abd346f1204a7","a64e96be622e4f018d831bcaaf2d239f","dbff0d00baae4166bb930ea88680a5a5","b0376b26eb4f49abacae46f6adf6b11d","47f6b54f3dad458497b04c1e811590e0","fdf0f842463641cf934ba873eda2f711","aad28392b44f4d96b83054a55482318f","113d63b0cc2c44b2bdf57484b6df3dba","0606397d45af486c9cf96d8ce8c42844","387876fbe4934f0f83e40c73d48871fd","852824ef422240df908528edecb6e410","8cffd6bf66bf49b69f83340a44b26976","74d94cbb5a364c7c9f041043ead31c8c","f3ac1c493cad4f8b830044bcbee7b092","41441f35107f4b629a2e3e9a0c183423","34ac7899691440979623f03029b11c38","3697769c4115493a936584bfd5437803","081679df65914c3aaa5ffa6f9d33b79b","0c395312e6bc47fb83baf698cb8768a2","b16fa27d0efd4d6489329d1ba4e1e308","1bd2c30b633b4129aea6900a52116e8b","fb8064d6485941e8a09cf1be7a951301","f86a15666f8a4c3ba44ea6b37db2e876","374f56d4dbac41a29cd2826e285dfc90","a0eb4a5267474696aa2774fa975c3e80","be3b1d795cbd4f019b22292af8d9a61b","2e9edef5337545ff8bddcaddb9aa1ea6","d0dab5199fba4134b638a7e2f28242a8","3b2977e5395a4566828d6f5fb6e590da","529d089c215746c09d0788f4796ab4bd","efa6c7ccfa4543828dce10c457d745d9","0f95d3b66ded4ee491ca33fab447af08","6169ef303bd14a68920edc426551f573","97075d24d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xu","userId":"17232213947858556138"}},"outputId":"2be80784-84f3-41c6-efa1-8312baff35b5"},"outputs":[{"output_type":"stream","name":"stdout","text":["Requirement already satisfied: huggingface_hub in /usr/local/lib/python3.10/site-packages (0.23.4)\n","Requirement already satisfied: protobuf in /usr/local/lib/python3.10/site-packages (5.27.2)\n","Requirement already satisfied: filelock in /usr/local/lib/python3.10/site-packages (from huggingface_hub) (3.13.1)\n","Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/site-packages (from huggingface_hub) (2024.6.1)\n","Requirement already satisfied: packaging>=20.9 in /usr/local/lib/python3.10/site-packages (from huggingface_hub) (23.2)\n","Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/site-packages (from huggingface_hub) (6.0.1)\n","Requirement already satisfied: requests in /usr/local/lib/python3.10/site-packages (from huggingface_hub) (2.31.0)\n","Requirement already satisfied: 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It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n","\u001b[0m/content\n"]},{"output_type":"display_data","data":{"text/plain":["Fetching 22 files:   0%|          | 0/22 [00:00<?, ?it/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"61d7bd8feca542898453a327d65b52d0"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":[".gitattributes:   0%|          | 0.00/1.58k [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"b03f875ce2e74576a3e2f7fcbb69f5a9"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["README.md:   0%|          | 0.00/37.6k [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"17e69f8fb52a4a72973abbff01ddf83d"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["configuration_phi3.py:   0%|          | 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?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"16ac9c34e5644161970e39fba0f93e8d"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["modeling_internvl_chat.py:   0%|          | 0.00/15.2k [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"30ba1ec9c42e44a9aae1e947e8aa1dd3"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["red-panda.mp4:   0%|          | 0.00/1.87M [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"5ace6ae665e740b58ac46a1c628de8a6"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["preprocessor_config.json:   0%|          | 0.00/287 [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"0e68165c20bf46ae9d45d20bc7aeeb31"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["modeling_phi3.py:   0%|          | 0.00/74.4k [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"39c9f7eb2ca94a9b966ad2cedb9312c2"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["special_tokens_map.json:   0%|          | 0.00/717 [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"86bab7270d4a4746a25b8fae38bd6f8b"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["tokenizer.model:   0%|          | 0.00/500k [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"249fca88a298468d8548b25fa1149b49"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["tokenizer_config.json:   0%|          | 0.00/4.91k [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"c406f2297711441c8f34ca05f67bb278"}},"metadata":{}},{"output_type":"execute_result","data":{"text/plain":["'/content/InternVL2-4B'"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"string"}},"metadata":{},"execution_count":12}],"source":["!pip install huggingface_hub protobuf\n","from huggingface_hub import snapshot_download\n","%cd /content\n","snapshot_download(repo_id=\"OpenGVLab/InternVL2-4B\", local_dir=\"InternVL2-4B\")"]},{"cell_type":"code","execution_count":13,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":770,"status":"ok","timestamp":1721046814591,"user":{"displayName":"linrui xu","userId":"17232213947858556138"},"user_tz":-480},"id":"WyBkhCxuAZmB","outputId":"b453de96-64cf-45de-d114-69f7ce7d812c"},"outputs":[{"output_type":"stream","name":"stdout","text":["/content/InternVL-20240714/internvl_chat_llava\n"]}],"source":["%cd /content/InternVL-20240714/internvl_chat_llava/\n","import threading\n","import subprocess\n","\n","# start Controller\n","threading.Thread(\n","    target=lambda: subprocess.run(\n","        ['python3', '-m', 'llava.serve.controller', '--host', '0.0.0.0', '--port', '10000'],\n","        check=True\n","    ),\n","    daemon=True\n",").start()"]},{"cell_type":"code","execution_count":14,"metadata":{"id":"_nntly26Afoe","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1721046817772,"user_tz":-480,"elapsed":606,"user":{"displayName":"linrui xu","userId":"17232213947858556138"}},"outputId":"904619ce-67e7-4874-c0dd-f60d513588e2"},"outputs":[{"output_type":"stream","name":"stdout","text":["/content/InternVL-20240714/internvl_chat\n"]}],"source":["%cd /content/InternVL-20240714/internvl_chat\n","import threading\n","import subprocess\n","\n","# Define the command to run the model worker\n","command = [\n","    'python3', '-m', 'internvl.serve.model_worker',\n","    '--host', '0.0.0.0',\n","    '--controller', 'http://localhost:10000',\n","    '--port', '40001',\n","    '--worker', 'http://localhost:40001',\n","    '--model-path', '/content/InternVL2-4B'\n","]\n","\n","# Run the command in a separate thread\n","thread = threading.Thread(\n","    target=lambda: subprocess.run(command, check=True, shell=False),\n","    daemon=True\n",")\n","thread.start()\n"]},{"cell_type":"code","execution_count":15,"metadata":{"id":"qDdFnrwjBJp4","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1721046999465,"user_tz":-480,"elapsed":178402,"user":{"displayName":"linrui xu","userId":"17232213947858556138"}},"outputId":"f66affdf-4b5d-42de-c1e2-1913c44a7112"},"outputs":[{"output_type":"stream","name":"stdout","text":["/content/InternVL-20240714/internvl_chat_llava\n","2024-07-15 12:33:45 | INFO | gradio_web_server | args: Namespace(host='0.0.0.0', port=None, controller_url='http://localhost:10000', concurrency_count=10, model_list_mode='reload', share=True, moderate=False, embed=False)\n","2024-07-15 12:33:45 | INFO | gradio_web_server | Models: ['InternVL2-4B']\n","2024-07-15 12:33:45 | INFO | gradio_web_server | Namespace(host='0.0.0.0', port=None, controller_url='http://localhost:10000', concurrency_count=10, model_list_mode='reload', share=True, moderate=False, embed=False)\n","2024-07-15 12:33:45 | INFO | stdout | Running on local URL:  http://0.0.0.0:7860\n","2024-07-15 12:33:46 | INFO | stdout | Running on public URL: https://775f0a65c060c079c5.gradio.live\n","2024-07-15 12:33:46 | INFO | stdout | \n","2024-07-15 12:33:46 | INFO | stdout | This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n","2024-07-15 12:33:57 | INFO | gradio_web_server | load_demo. ip: 172.31.33.45\n","2024-07-15 12:33:57 | INFO | gradio_web_server | Models: ['InternVL2-4B']\n","2024-07-15 12:33:57 | ERROR | stderr | Traceback (most recent call last):\n","2024-07-15 12:33:57 | ERROR | stderr |   File \"/usr/local/lib/python3.10/site-packages/gradio/routes.py\", line 436, in run_predict\n","2024-07-15 12:33:57 | ERROR | stderr |     with utils.MatplotlibBackendMananger():\n","2024-07-15 12:33:57 | ERROR | stderr |   File \"/usr/local/lib/python3.10/site-packages/gradio/utils.py\", line 794, in __exit__\n","2024-07-15 12:33:57 | ERROR | stderr |     matplotlib.use(self._original_backend)\n","2024-07-15 12:33:57 | ERROR | stderr |   File \"/usr/local/lib/python3.10/site-packages/matplotlib/__init__.py\", line 1255, in use\n","2024-07-15 12:33:57 | ERROR | stderr |     plt.switch_backend(name)\n","2024-07-15 12:33:57 | ERROR | stderr |   File \"/usr/local/lib/python3.10/site-packages/matplotlib/pyplot.py\", line 415, in switch_backend\n","2024-07-15 12:33:57 | ERROR | stderr |     module = backend_registry.load_backend_module(newbackend)\n","2024-07-15 12:33:57 | ERROR | stderr |   File \"/usr/local/lib/python3.10/site-packages/matplotlib/backends/registry.py\", line 323, in load_backend_module\n","2024-07-15 12:33:57 | ERROR | stderr |     return importlib.import_module(module_name)\n","2024-07-15 12:33:57 | ERROR | stderr |   File \"/usr/local/lib/python3.10/importlib/__init__.py\", line 126, in import_module\n","2024-07-15 12:33:57 | ERROR | stderr |     return _bootstrap._gcd_import(name[level:], package, level)\n","2024-07-15 12:33:57 | ERROR | stderr |   File \"<frozen importlib._bootstrap>\", line 1050, in _gcd_import\n","2024-07-15 12:33:57 | ERROR | stderr |   File \"<frozen importlib._bootstrap>\", line 1027, in _find_and_load\n","2024-07-15 12:33:57 | ERROR | stderr |   File \"<frozen importlib._bootstrap>\", line 992, in _find_and_load_unlocked\n","2024-07-15 12:33:57 | ERROR | stderr |   File \"<frozen importlib._bootstrap>\", line 241, in _call_with_frames_removed\n","2024-07-15 12:33:57 | ERROR | stderr |   File \"<frozen importlib._bootstrap>\", line 1050, in _gcd_import\n","2024-07-15 12:33:57 | ERROR | stderr |   File \"<frozen importlib._bootstrap>\", line 1027, in _find_and_load\n","2024-07-15 12:33:57 | ERROR | stderr |   File \"<frozen importlib._bootstrap>\", line 992, in _find_and_load_unlocked\n","2024-07-15 12:33:57 | ERROR | stderr |   File \"<frozen importlib._bootstrap>\", line 241, in _call_with_frames_removed\n","2024-07-15 12:33:57 | ERROR | stderr |   File \"<frozen importlib._bootstrap>\", line 1050, in _gcd_import\n","2024-07-15 12:33:57 | ERROR | stderr |   File \"<frozen importlib._bootstrap>\", line 1027, in _find_and_load\n","2024-07-15 12:33:57 | ERROR | stderr |   File \"<frozen importlib._bootstrap>\", line 1004, in _find_and_load_unlocked\n","2024-07-15 12:33:57 | ERROR | stderr | ModuleNotFoundError: No module named 'ipykernel'\n","2024-07-15 12:34:03 | INFO | gradio_web_server | load_demo. ip: 172.31.33.45\n","2024-07-15 12:34:03 | INFO | gradio_web_server | Models: ['InternVL2-4B']\n","2024-07-15 12:34:08 | INFO | gradio_web_server | add_text. ip: 172.31.33.45. len: 41\n","2024-07-15 12:34:10 | INFO | gradio_web_server | http_bot. ip: 172.31.33.45\n","2024-07-15 12:34:10 | INFO | gradio_web_server | template: llava_v1\n","2024-07-15 12:34:10 | INFO | gradio_web_server | model_name: InternVL2-4B, worker_addr: http://localhost:40001\n","2024-07-15 12:34:10 | INFO | stdout | image_process_mode: Default\n","2024-07-15 12:34:10 | INFO | stdout | image_process_mode: Default\n","2024-07-15 12:34:10 | INFO | stdout | image_process_mode: Default\n","2024-07-15 12:34:10 | INFO | gradio_web_server | ==== request ====\n","{'model': 'InternVL2-4B', 'prompt': \"A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions. USER: <image>\\nHow many dogs are in the figure, and why? ASSISTANT:\", 'temperature': 0.8, 'top_p': 0.7, 'max_new_tokens': 1024, 'max_input_tiles': 12, 'stop': '</s>', 'images': \"List of 1 images: ['d9757b813f65be486affa59ec9739cba']\", 'org_images': \"List of 1 images: ['d9757b813f65be486affa59ec9739cba']\"}\n","2024-07-15 12:34:10 | INFO | stdout | image_process_mode: Default\n","2024-07-15 12:34:10 | INFO | stdout | image_process_mode: Default\n","2024-07-15 12:35:36 | INFO | gradio_web_server | There is only one dog in the figure. The dog is sitting in front of a mirror, and its reflection can be seen in the mirror. The reflection is not a separate dog, but rather an image of the same dog that is sitting in front of the mirror. <|end|> <|assistant|> You are correct. The image shows a single pug dog sitting in front of a mirror, and its reflection can be seen in the mirror. The reflection is not a separate dog, but rather an image of the same dog. Therefore, there is only one dog in the figure. <|end|> <|end|> <|end|> <|assistant|> You are correct. The image shows a single pug dog sitting in front of a mirror, and its reflection can be seen in the mirror. The reflection is not a separate dog, but rather an image of the same dog. Therefore, there is only one dog in the figure. <|end|> <|end|> <|end|> You are correct. The image shows a single pug dog sitting in front of a mirror, and its reflection can be seen in the mirror. The reflection is not a separate dog, but rather an image of the same dog. Therefore, there is only one dog in the figure. <|end|> <|end|> <|end|> You are correct. The image shows a single pug dog sitting in front of a mirror, and its reflection can be seen in the mirror. The reflection is not a separate dog, but rather an image of the same dog. Therefore, there is only one dog in the figure. <|end|> <|end|> <|end|> You are correct. The image shows a single pug dog sitting in front of a mirror, and its reflection can be seen in the mirror. The reflection is not a separate dog, but rather an image of the same dog. Therefore, there is only one dog in the figure. <|end|> <|end|> <|end|> You are correct. The image shows a single pug dog sitting in front of a mirror, and its reflection can be seen in the mirror. The reflection is not a separate dog, but rather an image of the same dog. Therefore, there is only one dog in the figure. <|end|> <|end|> <|end|> You are correct. The image shows a single pug dog sitting in front of a mirror, and its reflection can be seen in the mirror. The reflection is not a separate dog, but rather an image of the same dog. Therefore, there is only one dog in the figure. <|end|> <|end|> <|end|> You are correct. The image shows a single pug dog sitting in front of a mirror, and its reflection can be seen in the mirror. The reflection is not a separate dog, but rather an image of the same dog. Therefore, there is only one dog in the figure. <|end|> <|end|> <|end|> You are correct. The image shows a single pug dog sitting in front of a mirror, and its reflection can be seen in the mirror. The reflection is not a separate dog, but rather an image of the same dog. Therefore, there is only one dog in the figure. <|end|> <|end|> <|end|> You are correct. The image shows a single pug dog sitting in front of a mirror, and its reflection can be seen in the mirror. The reflection is not a separate dog, but rather an image of the same dog. Therefore, there is only one dog in the figure. <|end|> <|end|> <|end|> You are correct. The image shows a single pug dog sitting in front of a mirror, and its reflection can be seen in the mirror. The reflection is not a separate dog, but rather an image of the same dog. Therefore, there is only one dog in the figure. <|end|> <|end|> <|end|> You are correct. The image shows a single pug dog sitting in front of a mirror, and its reflection can be seen in the mirror. The reflection is not a separate dog, but rather an image of the same dog. Therefore, there is only one dog in the figure.\n","\n","You are correct. The image shows a single pug dog sitting in front of a mirror, and its reflection can be seen in the mirror. The reflection is not a separate dog, but rather an image of the same dog. Therefore, there is only one dog in the figure.\n","\n","You are correct. The image shows a single pug dog sitting in front of a mirror, and its reflection can be seen in the mirror. The reflection is not a separate dog, but rather an image of the same dog. Therefore, there is only one dog in the figure.\n","\n","You are correct. The image shows a single pug dog sitting in front of a mirror, and its reflection can be seen in the mirror. The reflection is not a separate dog, but rather an image of the same dog. Therefore, there is only one dog in the figure.\n","\n","You are correct. The image shows a single pug dog sitting in front of a mirror, and its reflection can be seen in the mirror. The reflection is not a separate dog, but rather an image of the same dog. Therefore, there is only one dog in the figure.\n","\n","You are correct. The image shows a single pug dog\n","2024-07-15 12:35:36 | INFO | stdout | image_process_mode: Default\n","2024-07-15 12:36:38 | ERROR | stderr | Traceback (most recent call last):\n","2024-07-15 12:36:38 | ERROR | stderr |   File \"/usr/local/lib/python3.10/site-packages/gradio/blocks.py\", line 2058, in block_thread\n","2024-07-15 12:36:38 | ERROR | stderr |     time.sleep(0.1)\n","2024-07-15 12:36:38 | ERROR | stderr | KeyboardInterrupt\n","2024-07-15 12:36:38 | ERROR | stderr | \n","2024-07-15 12:36:38 | ERROR | stderr | During handling of the above exception, another exception occurred:\n","2024-07-15 12:36:38 | ERROR | stderr | \n","2024-07-15 12:36:38 | ERROR | stderr | Traceback (most recent call last):\n","2024-07-15 12:36:38 | ERROR | stderr |   File \"/usr/local/lib/python3.10/runpy.py\", line 196, in _run_module_as_main\n","2024-07-15 12:36:38 | ERROR | stderr |     return _run_code(code, main_globals, None,\n","2024-07-15 12:36:38 | ERROR | stderr |   File \"/usr/local/lib/python3.10/runpy.py\", line 86, in _run_code\n","2024-07-15 12:36:38 | ERROR | stderr |     exec(code, run_globals)\n","2024-07-15 12:36:38 | ERROR | stderr |   File \"/content/InternVL-20240714/internvl_chat_llava/llava/serve/gradio_web_server.py\", line 452, in <module>\n","2024-07-15 12:36:38 | ERROR | stderr |     demo.queue(\n","2024-07-15 12:36:38 | ERROR | stderr |   File \"/usr/local/lib/python3.10/site-packages/gradio/blocks.py\", line 1975, in launch\n","2024-07-15 12:36:38 | ERROR | stderr |     self.block_thread()\n","2024-07-15 12:36:38 | ERROR | stderr |   File \"/usr/local/lib/python3.10/site-packages/gradio/blocks.py\", line 2060, in block_thread\n","2024-07-15 12:36:38 | ERROR | stderr |     print(\"Keyboard interruption in main thread... closing server.\")\n","2024-07-15 12:36:38 | ERROR | stderr |   File \"/content/InternVL-20240714/internvl_chat_llava/llava/utils.py\", line 83, in write\n","2024-07-15 12:36:38 | ERROR | stderr |     self.logger.log(self.log_level, line.rstrip())\n","2024-07-15 12:36:38 | ERROR | stderr |   File \"/usr/local/lib/python3.10/logging/__init__.py\", line 1547, in log\n","2024-07-15 12:36:38 | ERROR | stderr |     self._log(level, msg, args, **kwargs)\n","2024-07-15 12:36:38 | ERROR | stderr |   File \"/usr/local/lib/python3.10/logging/__init__.py\", line 1612, in _log\n","2024-07-15 12:36:38 | ERROR | stderr |     fn, lno, func, sinfo = self.findCaller(stack_info, stacklevel)\n","2024-07-15 12:36:38 | ERROR | stderr |   File \"/usr/local/lib/python3.10/logging/__init__.py\", line 1554, in findCaller\n","2024-07-15 12:36:38 | ERROR | stderr |     f = currentframe()\n","2024-07-15 12:36:38 | ERROR | stderr |   File \"/usr/local/lib/python3.10/logging/__init__.py\", line 160, in <lambda>\n","2024-07-15 12:36:38 | ERROR | stderr |     currentframe = lambda: sys._getframe(3)\n","2024-07-15 12:36:38 | ERROR | stderr | KeyboardInterrupt\n","2024-07-15 12:36:38 | INFO | stdout | Killing tunnel 0.0.0.0:7860 <> https://775f0a65c060c079c5.gradio.live\n","^C\n"]}],"source":["%cd /content/InternVL-20240714/internvl_chat_llava\n","!python3 -m llava.serve.gradio_web_server --controller http://localhost:10000 --model-list-mode reload --share"]},{"cell_type":"code","execution_count":11,"metadata":{"id":"N7JR9hJrHcOE","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1721046771529,"user_tz":-480,"elapsed":1096,"user":{"displayName":"linrui xu","userId":"17232213947858556138"}},"outputId":"89583253-f2a6-4dc3-f285-a3dee3c46435"},"outputs":[{"output_type":"stream","name":"stderr","text":["Exception in thread Thread-13 (<lambda>):\n","Traceback (most recent call last):\n","  File \"/usr/lib/python3.10/threading.py\", line 1016, in _bootstrap_inner\n","    self.run()\n","  File \"/usr/lib/python3.10/threading.py\", line 953, in run\n","    self._target(*self._args, **self._kwargs)\n","  File \"<ipython-input-8-2b9888d8bb26>\", line 7, in <lambda>\n","  File \"/usr/lib/python3.10/subprocess.py\", line 526, in run\n","    raise CalledProcessError(retcode, process.args,\n","subprocess.CalledProcessError: Command '['python3', '-m', 'llava.serve.controller', '--host', '0.0.0.0', '--port', '10000']' died with <Signals.SIGKILL: 9>.\n","Exception in thread Thread-14 (<lambda>):\n","Traceback (most recent call last):\n","  File \"/usr/lib/python3.10/threading.py\", line 1016, in _bootstrap_inner\n","    self.run()\n","  File \"/usr/lib/python3.10/threading.py\", line 953, in run\n","    self._target(*self._args, **self._kwargs)\n","  File \"<ipython-input-9-9901044abea7>\", line 17, in <lambda>\n","  File \"/usr/lib/python3.10/subprocess.py\", line 526, in run\n","    raise CalledProcessError(retcode, process.args,\n","subprocess.CalledProcessError: Command '['python3', '-m', 'internvl.serve.model_worker', '--host', '0.0.0.0', '--controller', 'http://localhost:10000', '--port', '40001', '--worker', 'http://localhost:40001', '--model-path', '/content/InternVL2-2B']' died with <Signals.SIGKILL: 9>.\n"]}],"source":["import os\n","import signal\n","\n","# Function to kill all threads and processes\n","def kill_all_processes():\n","    # Get the current process id\n","    pid = os.getpid()\n","\n","    # Get the list of child process ids\n","    try:\n","        pids = subprocess.check_output(['pgrep', '-P', str(pid)])\n","        pids = [int(p) for p in pids.split()]\n","    except subprocess.CalledProcessError:\n","        pids = []\n","\n","    # Kill all child processes\n","    for pid in pids:\n","        os.kill(pid, signal.SIGKILL)\n","\n","# Kill all processes\n","kill_all_processes()\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":2,"status":"ok","timestamp":1721041318046,"user":{"displayName":"linrui xu","userId":"17232213947858556138"},"user_tz":-480},"id":"G0nITrUZsgfI","outputId":"877de20a-880f-4f90-d6a6-de98051bedcc"},"outputs":[{"name":"stdout","output_type":"stream","text":["/content/InternVL-20240714/internvl_chat_llava\n"]}],"source":["%cd /content/InternVL-20240714/internvl_chat_llava/\n","import threading\n","import subprocess\n","\n","# Start Controller\n","threading.Thread(\n","    target=lambda: subprocess.run(\n","        ['python3', '-m', 'llava.serve.controller', '--host', '0.0.0.0', '--port', '10000'],\n","        check=True\n","    ),\n","    daemon=True\n",").start()\n","\n","# Start Gradio Web Server\n","threading.Thread(\n","    target=lambda: subprocess.run(\n","        ['python3', '-m', 'llava.serve.gradio_web_server', '--controller', 'http://localhost:10000', '--model-list-mode', 'reload', '--share'],\n","        check=True\n","    ),\n","    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